This title appears in the Scientific Report : 2015 

Crowd dynamics: Automatic extraction of high precise trajectories of marked persons in experiments
Boltes, Maik (Corresponding author)
Jülich Supercomputing Center; JSC
2015
Seminar on Crowd Dynamics, London (England), 2015-08-19 - 2015-08-19
Talk (non-conference)
Computational Science and Mathematical Methods
Simulations can help making facilities for pedestrians safer and more comfortable. A proper understanding of crowd dynamics is essential to develop reliable models for such simulations. Detailed and reproducible datasets of real crowd movements are needed for analysis and modelling. The talk describes the collection of trajectory data from overhead video recordings. Individual trajectories are automatically extracted and make it possible to obtain the most relevant quantities of the dynamic e.g. pedestrian density, velocity and flow. Traffic jams and other high density situations are of special interest since this is where critical situations are to be expected. Therefore, the developed methods have to also reliable extract an individual's movement in such situations. The movement of pedestrians is affected by many factors such as geometry, crowd density, motivation and culture. To investigate these numerous influences a large number of experiments with a huge number of marked participants have been carried out.